by this way computer can keep track only the address of the first element and the addresses of other elements can be calculated
the architecture of computer memory does not allow arrays to store other than serially
both of above
none of above
A. by this way computer can keep track only the address of the first element and the addresses of other elements can be calculated
11
12
13
14
Stacks linked list
Queue linked list
Both of them
Neither of them
Graph
Binary tree
Trees
Stack
underflow
overflow
housefull
saturated
by this way computer can keep track only the address of the first element and the addresses of other elements can be calculated
the architecture of computer memory does not allow arrays to store other than serially
both of above
none of above
O(n)
O(log n)
O(n2)
O(n log n)
the name of array
the data type of array
the index set of the array
the first data from the set to be stored
underflow
overflow
housefull
saturated
LOC(Array[5]=Base(Array)+w(5-lower bound), where w is the number of words per memory cell for the array
LOC(Array[5])=Base(Array[5])+(5-lower bound), where w is the number of words per memory cell for the array
LOC(Array[5])=Base(Array[4])+(5-Upper bound), where w is the number of words per memory cell for the array
None of above
Stack
Input restricted dequeue
Priority queues
Output restricted qequeue
Tree
Graph
Priority
Dequeue
Breath first search cannot be used to find converted components of a graph.
Optimal binary search tree construction can be performed efficiently using dynamic programming.
Given the prefix and post fix walks over a binary tree.The binary tree cannot be uniquely constructe
Depth first search can be used to find connected components of a graph.
O(n)
O(log n)
O(n2)
O(n log n)
Best case
Null case
Worst case
Average case
sorted linked list
sorted binary trees
sorted linear array
pointer array
Arrays
Linked lists
Both of above
None of above
FAEKCDBHG
FAEKCDHGB
EAFKHDCBG
FEAKDCHBG
Application level
Abstract level
Implementation level
All of the above
grounded header list
circular header list
linked list with header and trailer nodes
none of above
Lists
Strings
Graph
Stacks
The item is somewhere in the middle of the array
The item is not in the array at all
The item is the last element in the array
The item is the last element in the array or is not there at all
FIFO lists
LIFO list
Piles
Push-down lists
for relatively permanent collections of data
for the size of the structure and the data in the structure are constantly changing
for both of above situation
for none of above situation
An array is suitable for homogeneous data but the data items in a record may have different data type
In a record, there may not be a natural ordering in opposed to linear array.
A record form a hierarchical structure but a linear array does not
All of above
Stacks
Dequeues
Queues
Binary search tree
Divide and conquer strategy
Backtracking approach
Heuristic search
Greedy approach
When Item is somewhere in the middle of the array
When Item is not in the array at all
When Item is the last element in the array
When Item is the last element in the array or is not there at all
push, pop
insert, delete
pop, push
delete, insert
Sorting
Merging
Inserting
Traversal
for relatively permanent collections of data
for the size of the structure and the data in the structure are constantly changing
for both of above situation
for none of above situation